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Technological Heterogeneity in Pig Farming: A Metafrontier Approach—Perspectives from Hungary and Poland

Author

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  • Lajos Baráth

    (Centre for Economic and Regional Studies, Institute of Economics, 1097 Budapest, Hungary)

  • Imre Fertő

    (Centre for Economic and Regional Studies, Institute of Economics, 1097 Budapest, Hungary)

  • Jakub Staniszewski

    (Department of Macroeconomics and Agricultural Economics, Poznań University of Economics and Business, 61-875 Poznań, Poland)

Abstract

Despite remaining the most important type of animal production, pig production in Poland and Hungary declined after their accession to the European Union (EU) in 2004. This paper investigated the evolution of the technical efficiency of the pork industry in both countries. We applied stochastic frontier analysis, which takes into account heterogeneity in the production environment and production functions in both countries—true random effects, and a metafrontier model. We employed farm-level data from the Farm Accountancy Data Network sample during the period 2004–2015. Results illustrate the differences in production function in both countries and technological decline throughout the period of analysis. Furthermore, farms in Hungary were more technologically developed as well as less efficient in relation to the country frontier; however, the higher technological level resulted in generally greater efficiency in relation to the metafrontier. Our results suggest that different policy measures would be effective in the countries under analysis.

Suggested Citation

  • Lajos Baráth & Imre Fertő & Jakub Staniszewski, 2021. "Technological Heterogeneity in Pig Farming: A Metafrontier Approach—Perspectives from Hungary and Poland," Agriculture, MDPI, vol. 11(10), pages 1-13, October.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:10:p:961-:d:648988
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    References listed on IDEAS

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    1. Lukas Cechura & Aaron Grau & Heinrich Hockmann & Inna Levkovych & Zdenka Kroupova, 2017. "Catching Up or Falling Behind in European Agriculture: The Case of Milk Production," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 206-227, February.
    2. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.
    3. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    4. Habtamu Alem & Gudbrand Lien & J. Brian Hardaker & Atle Guttormsen, 2019. "Regional differences in technical efficiency and technological gap of Norwegian dairy farms: a stochastic meta-frontier model," Applied Economics, Taylor & Francis Journals, vol. 51(4), pages 409-421, January.
    5. K. Hervé Dakpo & Yann Desjeux & Philippe Jeanneaux & Laure Latruffe, 2019. "Productivity, technical efficiency and technological change in French agriculture during 2002-2015: a Färe-Primont index decomposition using group frontiers and meta-frontier," Applied Economics, Taylor & Francis Journals, vol. 51(11), pages 1166-1182, March.
    6. Xiaoheng Zhang & Feng Chu & Xiaohua Yu & Yingheng Zhou & Xu Tian & Xianhui Geng & Jinyang Yang, 2017. "Changing Structure and Sustainable Development for China’s Hog Sector," Sustainability, MDPI, vol. 9(1), pages 1-15, January.
    7. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    8. Sebastian Stępień & Jan Polcyn, 2016. "Pig Meat Market In Selected Eu Countries Under The Conditions Of Economic Integration: A Comparative Analysis Of Old And New Member States," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(18), pages 1-14.
    9. Dakpo, K Hervé & Desjeux, Yann & Jeanneaux, Philippe & Latruffe , Laure, 2017. "Productivity, technical efficiency and technological change in French agriculture during 2002-2014: A Färe-Primont index decomposition," Working Papers 263010, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    10. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    11. Arnold Csonka & Imre Fertő, 2020. "Structural change and agglomeration in the Hungarian pork industry," European Planning Studies, Taylor & Francis Journals, vol. 28(9), pages 1756-1770, September.
    12. Sebastian Lakner & Stefan Kirchweger & Daniel Hoop & Bernhard Brümmer & Jochen Kantelhardt, 2018. "The Effects of Diversification Activities on the Technical Efficiency of Organic Farms in Switzerland, Austria, and Southern Germany," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
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    Cited by:

    1. Veronika Fenyves & Tibor Tarnóczi & Zoltán Bács & Dóra Kerezsi & Péter Bajnai & Mihály Szoboszlai, 2022. "Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 413-426.
    2. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    3. Lajos Baráth & Imre Fertő & Jakub Staniszewski, 2024. "Are technological or efficiency differences more pronounced between Hungarian and Polish poultry farms? A stochastic metafrontier analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(8), pages 406-413.
    4. Nelė Jurkėnaitė, 2023. "Analysis of the Nexus between Structural and Climate Changes in EU Pig Farming," Agriculture, MDPI, vol. 13(9), pages 1-19, September.

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